LEADER 00000cam a2200769Ii 4500 
001    on1008968666 
003    OCoLC 
005    20201002143006.1 
006    m     o  d         
007    cr unu|||||||| 
008    171102s2017    enka    of    001 0 eng d 
015    GBB7L4163|2bnb 
016 7  018554435|2Uk 
019    1004538908|a1004841590 
020    9781787286405|q(electronic book) 
020    1787286401|q(electronic book) 
020    1787285650 
020    9781787285651 
020    |z9781787285651 
035    (OCoLC)1008968666|z(OCoLC)1004538908|z(OCoLC)1004841590 
037    CL0500000908|bSafari Books Online 
040    UMI|beng|erda|epn|cUMI|dIDEBK|dSTF|dOCLCF|dVT2|dN$T|dUOK
       |dCEF|dKSU|dUKMGB|dWYU|dC6I|dUAB|dTXI|dEBLCP|dMERUC|dYDX
       |dIDB|dCHVBK|dCOO|dLVT|dOCL|dOCLCQ 
049    RIDW 
050  4 QA76.73.J38 
072  7 COM|x051280|2bisacsh 
072  7 COM|x021030|2bisacsh 
082 04 005.133|223 
090    QA76.73.J38 
100 1  Hubbard, J. R.|q(John Rast),|d1943-|0https://id.loc.gov/
       authorities/names/n85362151 
245 10 Java data analysis :|bdata mining, big data analysis, 
       NoSQL, and data visualization /|cJohn R. Hubbard. 
264  1 Birmingham, UK :|bPackt Publishing,|c2017. 
300    1 online resource (384 pages) :|billustrations 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file|2rdaft 
500    Includes index. 
505 00 |tIntroduction to data analysis --|tData preprocessing --
       |tData visualization -- Statistics --|tRelational 
       databases --|tRegression analysis --|tClassification 
       analysis --|tCluster analysis --|tRecommender systems --
       |tNoSQL databases --|tBig data analysis with Java --
       |gAppendix A.|tJava tools. 
520    If you are a student or Java developer or a budding data 
       scientist who wishes to learn the fundamentals of data 
       analysis and learn to perform data analysis with Java, 
       this book is for you. Some familiarity with elementary 
       statistics and relational databases will be helpful but is
       not mandatory, to get the most out of this book. A firm 
       understanding of Java is required. This book will help you
       learn the tools and techniques in Java to conduct data 
       analysis without any hassle. After getting a quick 
       overview of what data science is and the steps involved in
       the process, you'll learn the statistical data analysis 
       techniques and implement them using the popular Java APIs 
       and libraries. Through practical examples, you will also 
       learn the machine learning concepts such as classification
       and regression. By the end of this book, you will have a 
       solid understanding of the various data analysis 
       techniques, and how to implement them using Java. 
588 0  Online resource; title from cover (Safari, viewed October 
       31, 2017). 
590    eBooks on EBSCOhost|bEBSCO eBook Subscription Academic 
       Collection - North America 
650  0 Java (Computer program language)|0https://id.loc.gov/
       authorities/subjects/sh95008574 
650  0 Java (Computer program language)|0https://id.loc.gov/
       authorities/subjects/sh95008574|vHandbooks, manuals, etc.
       |0https://id.loc.gov/authorities/subjects/sh99001300 
650  0 Relational databases|0https://id.loc.gov/authorities/
       subjects/sh86007768|xComputer programs.|0https://
       id.loc.gov/authorities/subjects/sh99005296 
650  0 Regression analysis|xComputer programs.|0https://
       id.loc.gov/authorities/subjects/sh85112393 
650  0 Data mining.|0https://id.loc.gov/authorities/subjects/
       sh97002073 
650  0 Information visualization.|0https://id.loc.gov/authorities
       /subjects/sh2002000243 
650  0 Electronic data processing.|0https://id.loc.gov/
       authorities/subjects/sh85042288 
650  0 Relational databases.|0https://id.loc.gov/authorities/
       subjects/sh86007768 
650  7 Java (Computer program language)|2fast|0https://
       id.worldcat.org/fast/982065 
650  7 Relational databases|xComputer programs.|2fast|0https://
       id.worldcat.org/fast/1093576 
650  7 Relational databases.|2fast|0https://id.worldcat.org/fast/
       1093575 
650  7 Regression analysis|xComputer programs.|2fast|0https://
       id.worldcat.org/fast/1093273 
650  7 Data mining.|2fast|0https://id.worldcat.org/fast/887946 
650  7 Information visualization.|2fast|0https://id.worldcat.org/
       fast/973185 
650  7 Electronic data processing.|2fast|0https://id.worldcat.org
       /fast/906956 
655  4 Electronic books. 
655  7 Handbooks and manuals.|2fast|0https://id.worldcat.org/fast
       /1423877 
655  7 Handbooks and manuals.|2lcgft|0https://id.loc.gov/
       authorities/genreForms/gf2014026109 
776 08 |iPrint version:|aHubbard, John R.|tJava data analysis : 
       data mining, big data analysis, NoSQL, and data 
       visualization.|dBirmingham, England ; Mumbia, India : 
       Packt Publishing, 2017|z9781787285651 
856 40 |uhttps://rider.idm.oclc.org/login?url=http://
       search.ebscohost.com/login.aspx?direct=true&scope=site&
       db=nlebk&AN=1606529|zOnline ebook via EBSCO. Access 
       restricted to current Rider University students, faculty, 
       and staff. 
856 42 |3Instructions for reading/downloading the EBSCO version 
       of this ebook|uhttp://guides.rider.edu/ebooks/ebsco 
901    MARCIVE 20231220 
948    |d20210112|cEBSCO|tEBSCOebooksacademic NEW Aug-Dec2020 
       3103|lridw 
994    92|bRID